Topic Modelling for Humans

Machine learning, in numpy

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Extract Keywords from sentence or Replace keywords in sentences.

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Python interface to Google word2vec

兜哥出品 <一本开源的NLP入门书籍>

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Beautiful visualizations of how language differs among document types.

Pre-trained word vectors of 30+ languages

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

A curated list of awesome embedding models tutorials, projects and communities.

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.

🦆 Contextually-keyed word vectors

A fast, efficient universal vector embedding utility package.

Automatically exported from code.google.com/p/word2vec

Simple web service providing a word embedding model

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

利用Python实现中文文本关键词抽取，分别采用TF-IDF、TextRank、Word2Vec词聚类三种方法。

Word2vec 千人千面 个性化搜索 + Scrapy2.3.0(爬取数据) + ElasticSearch7.9.1(存储数据并提供对外Restful API) + Django3.1.1 搜索

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

Four word embedding models implemented in Python. Supporting arbitrary context features

基于Pytorch和torchtext的自然语言处理深度学习框架。

Commented (but unaltered) version of original word2vec C implementation.

This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks